Case Study: a US-based healthcare services provider achieves faster, lower-cost data ingestion with Impetus and Snowflake on Azure

a US-based healthcare services provider cuts data ingestion time by 60% with Impetus

a US-based healthcare services provider sought to revamp its analytics by moving its CDH-based data lake to the cloud. Their challenge was to consolidate their data warehouse, ETL, and BI on Snowflake on Azure to create a single source of truth, increase speed and flexibility, and reduce costs. They engaged Impetus to address this.

Impetus implemented a solution using Snowflake on Azure, which included data ingestion via IBM DataStage and Snowflake SQL, and data curation using Snowflake Streams and Tasks. This approach led to a 60% reduction in overall ingestion time and $500K in annual savings for the customer. The solution also drastically cut the existing team's transformation effort from one year to just one month.